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Research & Development
Recommender Systems: A Call for Fundamental Rethinking, Fifteen Years On
TLDR: This research paper argues that despite significant algorithmic advancements, recommender systems research continues to operate on flawed foundations identified over a decade ago....
Research & Development
ENSI: Boosting Privacy-Preserving AI with Efficient Secure Inference for Large Language Models
TLDR: ENSI is a new framework that enables efficient and non-interactive secure inference for Large Language Models (LLMs) using homomorphic encryption. It addresses the...
Research & Development
Confronting Digital Deception: The OPENFAKE Initiative
TLDR: The OPENFAKE research introduces a new, comprehensive dataset and platform for deepfake detection. It addresses limitations of older datasets by providing 3 million...
Research & Development
Beyond Cybersecurity: Addressing AI Risks in India’s Telecom Sector
TLDR: The research paper highlights the critical need for a new regulatory framework in India to address AI-specific incidents in telecommunications, which go beyond...
Research & Development
Boosting Global Optimization: The IECO-MCO Approach
TLDR: The Educational Competition Optimizer (ECO), a metaheuristic algorithm, struggles with balancing exploration and exploitation in complex optimization problems. Researchers introduced IECO-MCO, an enhanced...
Research & Development
Demographic Shortcuts in AI: Uncovering Bias in Alzheimer’s MRI Diagnosis
TLDR: This research paper investigates how deep learning models for Alzheimer's disease diagnosis from MRI scans can learn "shortcuts" based on invisible demographic attributes...